@inproceedings{fahim-2023-aambela-blp,
title = "Aambela at {BLP}-2023 Task 2: Enhancing {B}angla{BERT} Performance for {B}angla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation",
author = "Fahim, Md",
editor = "Alam, Firoj and
Kar, Sudipta and
Chowdhury, Shammur Absar and
Sadeque, Farig and
Amin, Ruhul",
booktitle = "Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.banglalp-1.42",
doi = "10.18653/v1/2023.banglalp-1.42",
pages = "317--323",
abstract = "This paper introduces the top-performing approachof {``}Aambela{''} for the BLP-2023 Task2: {``}Sentiment Analysis of Bangla Social MediaPosts{''}. The objective of the task was tocreate systems capable of automatically detectingsentiment in Bangla text from diverse socialmedia posts. My approach comprised finetuninga Bangla Language Model with threedistinct classification heads. To enhance performance,we employed two robust text classificationtechniques. To arrive at a final prediction,we employed a mode-based ensemble approachof various predictions from different models,which ultimately resulted in the 1st place in thecompetition.",
}
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<abstract>This paper introduces the top-performing approachof “Aambela” for the BLP-2023 Task2: “Sentiment Analysis of Bangla Social MediaPosts”. The objective of the task was tocreate systems capable of automatically detectingsentiment in Bangla text from diverse socialmedia posts. My approach comprised finetuninga Bangla Language Model with threedistinct classification heads. To enhance performance,we employed two robust text classificationtechniques. To arrive at a final prediction,we employed a mode-based ensemble approachof various predictions from different models,which ultimately resulted in the 1st place in thecompetition.</abstract>
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%0 Conference Proceedings
%T Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation
%A Fahim, Md
%Y Alam, Firoj
%Y Kar, Sudipta
%Y Chowdhury, Shammur Absar
%Y Sadeque, Farig
%Y Amin, Ruhul
%S Proceedings of the First Workshop on Bangla Language Processing (BLP-2023)
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F fahim-2023-aambela-blp
%X This paper introduces the top-performing approachof “Aambela” for the BLP-2023 Task2: “Sentiment Analysis of Bangla Social MediaPosts”. The objective of the task was tocreate systems capable of automatically detectingsentiment in Bangla text from diverse socialmedia posts. My approach comprised finetuninga Bangla Language Model with threedistinct classification heads. To enhance performance,we employed two robust text classificationtechniques. To arrive at a final prediction,we employed a mode-based ensemble approachof various predictions from different models,which ultimately resulted in the 1st place in thecompetition.
%R 10.18653/v1/2023.banglalp-1.42
%U https://aclanthology.org/2023.banglalp-1.42
%U https://doi.org/10.18653/v1/2023.banglalp-1.42
%P 317-323
Markdown (Informal)
[Aambela at BLP-2023 Task 2: Enhancing BanglaBERT Performance for Bangla Sentiment Analysis Task with In Task Pretraining and Adversarial Weight Perturbation](https://aclanthology.org/2023.banglalp-1.42) (Fahim, BanglaLP 2023)
ACL